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Chinese scientists have developed a high-precision three-dimensional (3D) face database and achieved a breakthrough in personalized modeling, which will strongly support more natural human-computer interaction, according to a study published in the journal IEEE Transactions on Circuits and Systems for Video Technology.The team introduced a new curvature-fused graph attention network (CF-GAT) capable of predicting facial landmarks directly from raw point clouds, which helps achieve an essential improvement from "one-size-fits-all" to personalized modeling.They built a custom 3D/4D facial acquisition system and conducted standardized data collection, creating what it said is the industry's largest high-precision, accurately annotated 3D facial database to date, comprising approximately 200,000 high-fidelity 3D facial scans.On this basis, the database system also includes a multi-expression 3D face dataset, a standardized 3D facial landmark dataset, a high-precision 3D human body dataset, and a dynamic 4D facial expression dataset. In the future, these datasets will further serve the data-driven large-model humanoid robot system to build more natural and intelligent human-robot interaction capabilities.